from datasets import load_dataset, DatasetDict

# Prepare labels
seeking_tenant_label = "søger lejer / seeking tenant"
not_seeking_tenant_label = "søger ikke lejer / does not seek tenant"
candidate_labels = [seeking_tenant_label, not_seeking_tenant_label]


# Function to map boolean to a categorical label index
def label_mapping(example):
    if example["is_seeking_tenant"]:
        return {"labels": candidate_labels.index(seeking_tenant_label)}
    else:
        return {"labels": candidate_labels.index(not_seeking_tenant_label)}


# Load your dataset from a local JSONL file
dataset = load_dataset("json", data_files="listings.jsonl")

# Split the dataset into train and temp
split_dataset = dataset["train"].train_test_split(test_size=0.3)

train_dataset = split_dataset["train"].map(label_mapping)
temp_dataset = split_dataset["test"]

# Split the temp dataset into validation and test
split_temp_dataset = temp_dataset.train_test_split(test_size=0.5)

validation_dataset = split_temp_dataset["train"].map(label_mapping)
test_dataset = split_temp_dataset["test"].map(label_mapping)

# Combine all splits into a DatasetDict
final_dataset = DatasetDict(
    {"train": train_dataset, "validation": validation_dataset, "test": test_dataset}
)

final_dataset.push_to_hub("hoaj/fb-housing-posts")